Sensata Technologies Holding (ST) Return on Sales [ROS] (2010 - 2026)
Sensata Technologies Holding (ST) posted Return on Sales [ROS] of 17.47% for Q3 2026, up 30.65 percentage points from -13.19% a year earlier and up 0.77 percentage points from the prior quarter.
Sensata Technologies Holding (ST) Return on Sales [ROS] (2010 - 2026) Analysis & Trends
For the trailing twelve months through Sep 30, 2026, Return on Sales [ROS] at Sensata Technologies Holding was 15.14%, up 9.42 percentage points year-over-year; for FY2025, it came in at 6.41%, up 2.61 percentage points from FY2024.
- Annual Return on Sales [ROS] shows a five-year change of -4.68 percentage points (FY2020 to FY2025).
- In prior years, Sensata Technologies Holding's Return on Sales [ROS] was 3.80% in FY2024 (-0.69 pp), 4.48% in FY2023 (-12.15 pp), 16.63% in FY2022 (+0.06 pp) and 16.57% in FY2021 (+5.48 pp).
- The Q3 2026 figure stands as the highest quarterly Return on Sales [ROS] since Q3 2022.
- On a year-over-year basis, Return on Sales [ROS] has increased in each of the last six quarters, with an average year-over-year change of +9.23 percentage points over the last eight quarters.
- The strongest year-over-year quarter for Return on Sales [ROS] in the past five years was Q3 2026, with a gain of 30.65 percentage points; the weakest was Q4 2023, with a drop of 35.31 percentage points.
- According to Business Quant data, Return on Sales [ROS] for the three prior quarters was 16.70% (Q2 2026), 15.15% (Q1 2026) and 10.91% (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 256.79 Bn | 228.09 Bn | 7.35 Bn | 20.38% |
| 2 | Amphenol | 183.76 Bn | 178.46 Bn | 4.02 Bn | 29.53% |
| 3 | Deere | 181.25 Bn | 149.34 Bn | 4.66 Bn | 14.72% |
| 4 | Eaton | 132.82 Bn | 129.76 Bn | 3.11 Bn | 17.76% |
| 5 | Parker-Hannifin | 115.39 Bn | 113.27 Bn | 2.26 Bn | 19.96% |
| 6 | 3M | 96.09 Bn | 77.53 Bn | 2.78 Bn | 23.66% |
| 7 | Emerson Electric | 90.66 Bn | 83.40 Bn | 2.66 Bn | 26.92% |
| 8 | Illinois Tool Works | 79.95 Bn | 76.63 Bn | 1.91 Bn | 27.79% |
| 9 | Vertiv Holdings | 70.25 Bn | 59.10 Bn | 1.64 Bn | 22.81% |
| 10 | Sensata Technologies Holding | 5.73 Bn | 3.56 Bn | 331.90 Mn | 17.47% |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 17.47% |
| Jun 30, 2026 | 16.70% |
| Mar 31, 2026 | 15.15% |
| Dec 31, 2025 | 10.91% |
| Sep 30, 2025 | -13.19% |
| Jun 30, 2025 | 14.64% |
| Mar 31, 2025 | 13.41% |
| Dec 31, 2024 | 8.13% |
| Sep 30, 2024 | -20.27% |
| Jun 30, 2024 | 12.55% |
| Mar 31, 2024 | 14.38% |
| Dec 31, 2023 | -20.29% |
| Sep 30, 2023 | 11.61% |
| Jun 30, 2023 | 11.11% |
| Mar 31, 2023 | 14.91% |
| Dec 31, 2022 | 15.02% |
| Sep 30, 2022 | 24.84% |
| Jun 30, 2022 | 13.61% |
| Mar 31, 2022 | 12.91% |
| Dec 31, 2021 | 16.02% |
Sensata Technologies Holding Return on Sales [ROS] API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=return-on-sales-%5Bros%5D&ticker=ST&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "ST", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=return-on-sales-%5Bros%5D&ticker=ST&period=max&api_key=YOUR_API_KEY");
const data = await res.json();